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Automated methods for surveillance of surgical site infections.
Automated data, especially from pharmacy and administrative claims, are available for much of the U.S. population and might substantially improve both inpatient and postdischarge surveillance for surgical site infections complicating selected procedures, while reducing the resources required. Potent...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Centers for Disease Control and Prevention
2001
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2631728/ https://www.ncbi.nlm.nih.gov/pubmed/11294709 |
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author | Platt, R Yokoe, D S Sands, K E |
author_facet | Platt, R Yokoe, D S Sands, K E |
author_sort | Platt, R |
collection | PubMed |
description | Automated data, especially from pharmacy and administrative claims, are available for much of the U.S. population and might substantially improve both inpatient and postdischarge surveillance for surgical site infections complicating selected procedures, while reducing the resources required. Potential improvements include better sensitivity, less susceptibility to interobserver variation, more uniform availability of data, more precise estimates of infection rates, and better adjustment for patients' coexisting illness. |
format | Text |
id | pubmed-2631728 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2001 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-26317282009-05-20 Automated methods for surveillance of surgical site infections. Platt, R Yokoe, D S Sands, K E Emerg Infect Dis Research Article Automated data, especially from pharmacy and administrative claims, are available for much of the U.S. population and might substantially improve both inpatient and postdischarge surveillance for surgical site infections complicating selected procedures, while reducing the resources required. Potential improvements include better sensitivity, less susceptibility to interobserver variation, more uniform availability of data, more precise estimates of infection rates, and better adjustment for patients' coexisting illness. Centers for Disease Control and Prevention 2001 /pmc/articles/PMC2631728/ /pubmed/11294709 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Article Platt, R Yokoe, D S Sands, K E Automated methods for surveillance of surgical site infections. |
title | Automated methods for surveillance of surgical site infections. |
title_full | Automated methods for surveillance of surgical site infections. |
title_fullStr | Automated methods for surveillance of surgical site infections. |
title_full_unstemmed | Automated methods for surveillance of surgical site infections. |
title_short | Automated methods for surveillance of surgical site infections. |
title_sort | automated methods for surveillance of surgical site infections. |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2631728/ https://www.ncbi.nlm.nih.gov/pubmed/11294709 |
work_keys_str_mv | AT plattr automatedmethodsforsurveillanceofsurgicalsiteinfections AT yokoeds automatedmethodsforsurveillanceofsurgicalsiteinfections AT sandske automatedmethodsforsurveillanceofsurgicalsiteinfections |